google-maps-contact-extract
Extracts business contact details from Google Maps search results and place detail pages, then visits each business website to collect emails, phone numbers, and social media profiles (Facebook, Instagram, Twitter/X, LinkedIn, YouTube, TikTok, Pinterest, Discord). Use when user mentions Google Maps contact extraction, maps email scraper, business lead generation from Google Maps, find emails from maps, scrape Google Maps businesses, maps business contacts, get phone from Google Maps, social media from maps listing, competitor research from maps, local business contact list, maps data export, g
npx skills add browser-act/skills --skill google-maps-contact-extract --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Google Maps — Contact Extractor > keyword + location → business list with name/address/phone/website + email/social media/contacts from each business's website ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Search Google Maps by keyword and location, collect place details from each result, visit each business's website to extract emails and social media profiles, and return a merged dataset replicating Google Maps Email Extractor functionality. ## Prerequisites - For search: navigate to `https://www.google.com/maps/search/{keyword}/@{lat},{lng},{zoom}z` — the search results sidebar (feed) must be visible - For place detail: navigate to the individual place URL `https://www.google.com/maps/place/?q=place_id:{place_id}` — the place sidebar with name, address, phone must be visible - For website contact extraction: navigate to the business's website homepage - No login required for Google Maps or most business websites ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If install
- Language
- Objective
- Prerequisites
- Pre-execution Checks
- 1. Tool Readiness
- Capability Components
- DOM: Search results list — extract business cards from Google Maps search feed
- DOM: Place detail — extract full business info from a Google Maps place page
- Composite: Full pipeline — search + place details + website contacts
- Pagination
- Success Criteria
- Known Limitations
- Execution Efficiency
- Experience Notes
for place_url in "${place_urls[@]}"; do
browser-act --session gmaps-s1 navigate "$place_url"
browser-act --session gmaps-s1 wait stable
browser-act --session gmaps-s1 eval "$(python scripts/place-detail.py)"
sleep 1.5
doneWhat does the google-maps-contact-extract skill do?
Extracts business contact details from Google Maps search results and place detail pages, then visits each business website to collect emails, phone numbers, and social media profiles (Facebook, Instagram, Twitter/X, LinkedIn, YouTube, TikTok, Pinterest, Discord). Use when user mentions Google Maps contact extraction, maps email scraper, business lead generation from Google Maps, find emails from maps, scrape Google Maps businesses, maps business contacts, get phone from Google Maps, social media from maps listing, competitor research from maps, local business contact list, maps data export, g
How do I install it?
Run `npx skills add browser-act/skills --skill google-maps-contact-extract --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.